Will it be needed to use bias and weight generated after training....
06 July 2016 5,267 2 View
I am confused.
10 November 2013 1,427 3 View
NFL theorem is valid for algorithms training in fixed training set. However, the general characteristic of algorithms in expanded or open dataset has not been proved yet. Could you show your...
01 March 2021 1,189 3 View
As the organizations getting prepared for the fourth industrial revolution, to enhance the skills of their workforce what type of changes are necessary and going to occur in the training and...
01 March 2021 3,199 3 View
I would like to have ideas about which theories of group formation are suitable for entrepreneurial training projects, with the aim of creating bonds, building trust, and collaboration for...
28 February 2021 4,223 2 View
Hello, I am a master's student studying in Yonsei Univeristy, Korea. I am trying to estimate the state of satellite, using Neural Network. Below is a simple flow of my study. 1. Train (t0 ~ t1)...
23 February 2021 6,383 3 View
For an overfit data set the cross validation error will be much bigger than the training error. Is it true or false?
23 February 2021 3,616 2 View
Lets consider a regression tree in which variance is 1.1065*e-10 and bias is 2.962e-13. Also the model RMSE on training set is 1.5e-5 and on training set is 1.2950e-5. Is the model is overfit or...
22 February 2021 7,755 2 View
If (1) the over training manifests itself in failure against instances that are new or excluded from the training set, and if (2) OOD instances are problematic because they are new and by...
18 February 2021 4,839 2 View
Dear scholars, I was wondering if there are any scientific methods to train a neural network or ANFIS when one of the input variables is stochastic (random) and more importantly non-measurable?...
17 February 2021 1,909 3 View
Actually I want to train a medical image captioning model but the dataset on which I want to train this model does not have captions/reports for the images. So can we use such dataset to train an...
14 February 2021 7,021 2 View
I want to train a model that should predict if a given signature is a genuine or a forged one. The model should take two images as input. One is the real signature, and the other is to be...
11 February 2021 4,436 3 View